I saw that the dataset is vertically partitioned and, correct me if I’m wrong, that only SWIFT has access to the labels.
- This means that all parties (SWIFT, and different Banks) have different types of data and each cannot train on a similar architecture like we would in regular/Horizontal Federated Learning, is that correct ?
- If so, as Banks have no access to the transaction information held by SWIFT, is there such a thing as a ‘local model’ for banks ?
- How are you gonna test the accuracy at test/inference time ? Is test time ‘private’, ie. are we gonna use the exact flags from the banks ?